tfidf.js | |
|---|---|
| Dependencies | |
| Normalize a word | undefined |
| Text frequency | undefined |
| If the normalized term is empty | undefined |
| Or a stop word | undefined |
| Don't count it | undefined |
| Increase count for every match | undefined |
| Term count / total word count ratio | undefined |
| Inverse document frequency | undefined |
| Main entry point, load the corpus and return an object which can calculate the tfidf for a certain doc | undefined |
| Total number of (unique) documents | undefined |
| Number of documents containing the term | undefined |
| Keep our calculated text frequencies | undefined |
| Key the corpus on their md5 hash | undefined |
| One more document | undefined |
| Calculate and store the text frequency | undefined |
| One more matching document? | undefined |
| They are loading a previously analyzed corpus | undefined |
| They are loading a term and a corpus | undefined |
| Add the document if it's new to us | undefined |
| Return a function which calculates the tfidf for this document | undefined |
| If it's a new document, add it | undefined |
| Return the tfidf | undefined |